Here's a Perl solution for the type of data you posted:
I think summer_cherry's program is a much more optimized version. It -
(i) does not store the entire N X N square matrix in any data structure.
(ii) stores only the information present in the file, since that is sufficient to generate the other half of the square matrix.
(iii) uses hashes for fast access.
My second version uses a multi-dimensional array to store only the necessary information i.e. everything after the "id" and "1.000" per element. It also keeps on chopping the array element right after it is printed, by using the "shift" operator. So while the run time would be higher for this, the memory consumption should be lesser.
HTH,
tyler_durden
This User Gave Thanks to durden_tyler For This Post:
Hi All
I would like to merge multiple files with the same row and column size into a matrix format
In a folder I have multiple files in the following format
vi 12.txt
a 1
b 5
c 7
d 0
vi 45.txt
a 3
b 6
c 9
d 2
vi 9.txt
a 4 (7 Replies)
Hi all,
Is there a way to convert full data matrix to linearised left data matrix?
e.g full data matrix
Bh1 Bh2 Bh3 Bh4 Bh5 Bh6 Bh7
Bh1 0 0.241058 0.236129 0.244397 0.237479 0.240767 0.245245
Bh2 0.241058 0 0.240594 0.241931 0.241975 ... (8 Replies)
Hi everyone
I am very new at awk but think that that might be the best strategy for this. I have a matrix very similar to a correlation matrix and in practical terms I need to convert it into a list containing the values from the matrix (one value per line) with the first field of the line (row... (5 Replies)
Hi,
I have a table in the format:
1 0 -1 1 0
2 0 1 -1 0 0 0
3 0 1 1 0 0 0 0 0 0
etc.
I am trying to input this to a program, however it is complaining about the fact that it is not in matrix format. How do I add 0's to end of the rows to make them even?
Thanks in advance! (2 Replies)
Hello all,
I am quite new in this but I need some help to keep going with my analysis.
I am struggling with a short script to read a square matrix and convert it in two collumns.
A B C D
A 0.00 0.06 0.51 0.03
B 0.06 0.00 0.72 0.48
C 0.51 0.72 0.00 ... (7 Replies)
Hi Experts,
I want to print this charts diagonal data into straight lines.
This is a matrix 24X24 Horizontal and vertical.
- I want to print all the diagonal cutting characters into straight line:
Data:
E F S S A H A L L A T M C N O T S O B O D U Q H
I W I B N L O C N I L N L A N S I N... (9 Replies)
Hello friends,
A big question for the UNIX INTELLIGENCE
I have a CSV file as follows:
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1,userN,userD,userB
0,userF,userH,userG
0,userT,userH,userB
1,userN,userB,userA
-1,userA,userF,userC
0,userF,userH,userG... (15 Replies)
I have two files. Row id in File1 matches the column id in file2 (starting from column7 )except the last 2 characters. File1 has 50 rows and File 2 has 56 columns. If the id matches I want to multiply the value in column3 of File1 to the entire column in File2. and in the final output print only... (11 Replies)
Discussion started by: Akang
11 Replies
LEARN ABOUT CENTOS
clanht
clanht.f(3) LAPACK clanht.f(3)NAME
clanht.f -
SYNOPSIS
Functions/Subroutines
REAL function clanht (NORM, N, D, E)
CLANHT returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a
complex Hermitian tridiagonal matrix.
Function/Subroutine Documentation
REAL function clanht (characterNORM, integerN, real, dimension( * )D, complex, dimension( * )E)
CLANHT returns the value of the 1-norm, or the Frobenius norm, or the infinity norm, or the element of largest absolute value of a complex
Hermitian tridiagonal matrix.
Purpose:
CLANHT returns the value of the one norm, or the Frobenius norm, or
the infinity norm, or the element of largest absolute value of a
complex Hermitian tridiagonal matrix A.
Returns:
CLANHT
CLANHT = ( max(abs(A(i,j))), NORM = 'M' or 'm'
(
( norm1(A), NORM = '1', 'O' or 'o'
(
( normI(A), NORM = 'I' or 'i'
(
( normF(A), NORM = 'F', 'f', 'E' or 'e'
where norm1 denotes the one norm of a matrix (maximum column sum),
normI denotes the infinity norm of a matrix (maximum row sum) and
normF denotes the Frobenius norm of a matrix (square root of sum of
squares). Note that max(abs(A(i,j))) is not a consistent matrix norm.
Parameters:
NORM
NORM is CHARACTER*1
Specifies the value to be returned in CLANHT as described
above.
N
N is INTEGER
The order of the matrix A. N >= 0. When N = 0, CLANHT is
set to zero.
D
D is REAL array, dimension (N)
The diagonal elements of A.
E
E is COMPLEX array, dimension (N-1)
The (n-1) sub-diagonal or super-diagonal elements of A.
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
September 2012
Definition at line 102 of file clanht.f.
Author
Generated automatically by Doxygen for LAPACK from the source code.
Version 3.4.2 Tue Sep 25 2012 clanht.f(3)